Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Rondeau, Corinne

  • Google
  • 1
  • 3
  • 0

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2014T2 relaxation and self-diffusion coefficient of PEG and dendrimer probes a complementary approach for the investigation of food matrices: Example of sodium caseinate dispersions and acid gelscitations

Places of action

Chart of shared publication
Duynhoven, John Van
1 / 1 shared
Salami, S.
1 / 7 shared
Mariette, François
1 / 16 shared
Chart of publication period
2014

Co-Authors (by relevance)

  • Duynhoven, John Van
  • Salami, S.
  • Mariette, François
OrganizationsLocationPeople

document

T2 relaxation and self-diffusion coefficient of PEG and dendrimer probes a complementary approach for the investigation of food matrices: Example of sodium caseinate dispersions and acid gels

  • Rondeau, Corinne
  • Duynhoven, John Van
  • Salami, S.
  • Mariette, François
Abstract

The measurement of both translational and rotational diffusion within the same matrix can, in principle, pave the way to a better understanding of the microscopic structure of a polymer network since it influences various motion and length scales. Generally, rotational diffusion is sensitive to motions that occur at the nanometer length scale and at the picosecond-to-nanosecond time scale, whereas in translational diffusion measurements, motion is measured over the millisecond-to-second time scale and over distances from tens of nanometers up to hundreds of microns. In this context, NMR techniques have the advantage of simultaneously and non-invasively measuring the translational and rotational diffusion of molecules. Sodium caseinate (SC) was chosen as a model protein to illustrate the potentiality of this complementary approach. SC has been the subject of many physico-chemical studies, because of its widespread use as a thickener, stabilizer and emulsifier of water-based industrial and commercial products. In aqueous solutions, casein molecules are present in the form of fragile star-like aggregates of ~20 nm in diameter containing ~ 4 to 6 gwater /gcasein. SC dispersions behave like model polymeric solutions, with a hyperentanglement regime that begins above 8 g/100 g H2O. Slow acidification of a sodium caseinate solution causes the formation of a gel. In this paper, we present T2 relaxation and self-diffusion coefficient of a rigid dendrimer probe and a flexible PEG probe in dispersions and acid gels of a sodium caseinate polymer system. The results show that the translational diffusion was greatly hindered in SC dispersions, and differences in the diffusion behaviour between PEG and dendrimer probes were observed after the overlap of the SC chains. In this regime, PEG diffused faster than dendrimer, which encountered greater resistance due to its fixed shape and lack of flexibility. On the contrary, the rotational mobility was much less hindered in SC dispersions at all casein concentration ranges investigated and depended on the local protein-probe friction. After coagulation, PEG and dendrimer translational diffusion was found to increase due to structural changes in the casein matrix, which resulted in the formation of large voids, whereas rotational diffusion of the probes was slightly retarded.

Topics
  • impedance spectroscopy
  • dispersion
  • polymer
  • mobility
  • laser emission spectroscopy
  • Sodium
  • void
  • Nuclear Magnetic Resonance spectroscopy
  • dendrimer